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KATRIN_1 [288]
2 years ago
11

So how do u add fractions?​

Mathematics
2 answers:
Diano4ka-milaya [45]2 years ago
8 0

Answer:

magic

Step-by-step explanation:

Make sure the bottom number are the same

Add the top numbers,put that answer over the denominator

Simplify the fractions if needed

Alecsey [184]2 years ago
3 0

Answer:

Cross-multiply the two fractions and add the results together to get the numerator of the answer.

Suppose you want to add the fractions 1/3 and 2/5. To get the numerator of the answer, cross-multiply. In other words, multiply the numerator of each fraction by the denominator of the other:

1/3 and 2/5

5+1=6     3+2=5

Add the results to get the numerator (top) of the answer:

5 + 6 = 11

Multiply the two denominators together to get the denominator of the answer.

To get the denominator (bottom), just multiply the denominators of the two fractions:

1/3 and 2/5

3x5 = 15

The denominator of the answer is 15.

So the final answer is 11/15

HOPE THIS HELPS!

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In a certain section of Southern California, the distribution of monthly rent for a one-bedroom apartment has a mean of $2,275 a
KATRIN_1 [288]

Answer:

100% probability of selecting a sample of 65 one-bedroom apartments and finding the mean to be at least $2,095 per month

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Mean of $2,275 and a standard deviation of $290.

This means that \mu = 2275, \sigma = 290

Sample of 65:

This means that n = 65, s = \frac{290}{\sqrt{65}}

Finding the mean to be at least $2,095 per month

This is 1 subtracted by the p-value of Z when X = 2095. So

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{2095 - 2275}{\frac{290}{\sqrt{65}}}

Z = -5

Z = -5 has a p-value of 0.

1 - 0 = 1

100% probability of selecting a sample of 65 one-bedroom apartments and finding the mean to be at least $2,095 per month

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3 years ago
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Answer:

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Step-by-step explanation:

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<u>Given</u>

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Answer: Switch a with c and you are good. I think that is what you are asking?

Step-by-step explanation:

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